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            "value": "In past few decades, an incremental growth in queues has been witnessed all around the world in shopping marts at the time of checkout. There has been an incremental research in order to bring down the average human time spent while checking out using various Machine learning and Artificial Intelligence techniques. This paper elaborates the use of barcode scanning through a mobile application and the use of indoor navigation so as to quickly locate products and also a potential data analysis scheme for shop owners so as to analyse their customers buying trends. The methods employed involves scanning the barcode of a product through app and adding product in your cart and paying through a designated payment gateway. In this paper, we propose a mobile application for scanning barcodes present on products. By using mobile camera and integrating it with a mobile application and using it as a barcode scanner, we are able to detect the product details thereby giving an option to user to add the product in cart and head to payment gateway.",
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                "unstructured": "Jose Antonio López-Pastor, Antonio J. Ruiz-Ruiz, Alejandro Santos Martínez-Sala, José Luis Gómez-Tornero, Evaluation of an indoor positioning system for added-value services in a mall, 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)"
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                "unstructured": "Medina Diani Nastiti, Maman Abdurohman, Aji Gautama Putrada, Smart Shopping Prediction on Smart Shopping with Linear Regression Method, 2019 7th International Conference on Information and Communication Technology (ICoICT)"
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                "unstructured": "Sudipta Ranjan Subudhi, Ponnalagu R. N, An Intelligent Shopping Cart with Automatic Product Detection and Secure Payment System, 2019 IEEE 16th India Council International Conference (INDICON)"
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